The DataPower XM70 addresses the LLM routing problem through its ability to intelligently route, filter, and modify hundreds of thousands of messages per second.
DataPower XM 70每秒能够智能路由、过滤和修改数十万条消息，从而能够解决llm路由问题。
Research on vehicle routing problem is of great importance in logistics distribution system.
研究车辆路径问题在物流配送系统中具有十分的重要意义。
The object of this paper is the vehicle routing problem with simultaneous pick-ups and deliveries.
本文对具有同时配送和收集需求的车辆路径问题进行了研究。
Vehicle routing problem on railway baggage and parcel is a problem of simultaneous delivery and pick up.
铁路行包配送车辆路径问题属于同时具有送货和集货需求的车辆路径问题。
This paper established the mathematic model and solving flow of multi-restriction vehicle routing problem.
建立了多约束条件车辆路径问题的数学模型和求解流程。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
The fault - tolerant routing problem in wormhole networks is studied, and a novel rerouting algorithm is presented.
研究了蛀洞网络的容错路由问题，提出了一种新的重新路由算法。
The optimization of order-picking routing problem in raising the efficiency of logistics centre has an important role.
拣货路径优化问题在提高物流中心效率中具有重要的作用。
The graph model was applied to solve the vehicle routing problem with full load (VRPFL) and a driving distance restriction.
结果表明，该方法能有效地解决有行驶里程限制的满载车辆调度问题。
Put forward a simply effective reoptimization algorithm for multiple vehicles routing problem with stochastic demand(MVRPSD).
针对随机需求的多车辆路径问题（MVRPSD），提出了一种简单有效的重优化新算法。
New route optimization solution called ROPIO is proposed to solve suboptimal routing problem caused by nested mobile networks.
在分析嵌套移动网络次优化路由问题后，提出路由优化方案ROPIO。
But the vehicle routing problem, as the traditional model for logistics distribution, fails behind the need of agile logistics.
但是，传统的车辆配送模型不适应敏捷物流的需要。
QoS multicast routing problem is a nonlinear combination optimization problem, which has been proved to be a NP complete problem.
组播路由问题是一个非线性的组合优化问题，已证明了该问题是NP完全问题。
This paper proposes a novel affinity based on group match to apply immune algorithm to vehicle routing problem with time Windows.
将免疫算法用于求解车辆路径问题，并根据车辆路径问题的具体情况提出了一种基于分组匹配的亲和力计算方法。
Propose four delay-constrained multicast source routing algorithms to solve delay-constrained least-cost multicast routing problem.
针对时延约束的最小代价组播路由问题，提出四种时延约束组播源路由算法。
In order to save logistic distribution costs, a multi-depots vehicle routing problem with multiple constraints(MDVRPMC)was proposed.
为节约物流配送费用，提出一类多约束条件下的多车场车辆路径问题。
A new integer-code method is adopted for the vehicle routing problem, and strained terms in VRP are processed by the penalty function.
设计了求解车辆路径问题一种新的整数编码方案，并采用罚函数法处理约束条件。
Vehicle routing problem with soft time Windows (VRPSTW) is a variation of vehicle routing problem (VRP), which is a typical NP-hard problem.
带软时间窗的车辆路径问题(VRPSTW)是在基本的车辆路径问题(VRP)上增加了时间窗约束条件的一种变化形式，是一个典型的NP -难问题。
A special asymmetric vehicle routing problem is presented for modeling the hot rolling lot planning since it accords with the production practice.
本文提出了更为接近热轧批量计划编制实际的特殊不对称车辆路径问题作为热轧批量计划编制问题的数学模型。
The dissimilar path routing problem is to find out spatial dissimilar paths between source and destination nodes for a given transportation network.
相异路径选线问题考虑的是，给定一运输网络和源宿接点，找出源宿节点之间在空间上有差异的路径。
The dissimilar path routing problem is to find out spatial dissimilar paths between source and destination nodes for a given transportation network.
相异路径选线问题考虑的是 ，给定一运输网络 ，找出某对源宿节点之间的空间上有差异的路径。
For the attributes of the vehicle routing problem with disruption, a series of solving-simplify strategies are given to simplify the solution space.
针对多车场车辆调度干扰管理问题的特有属性，设计一系列求解简化策略，简化问题的求解空间。
In this paper, we presented a kind of special vehicle routing problem(VRP) based on reality- vehicle routing problem with facultative demands(VRPFD).
本文基于现实的问题提出了一类特殊的车辆路线问题（VRP）—任意客户需求量的车辆路线问题（VRPFD）。
Multiple demands vehicle routing problem (MVRP) comes from organization and implementation of transportation in large scale industrial production process.
多重运输调度问题(MVRP)来源于大规模生产过程的运输组织与实施。
A genetic algorithmic approach to the shortest path (SP) routing problem in large network was presented in order to improve the efficiency of computation.
为提高求解大型网络最短路问题(SP)的效率，采用遗传算法求解。
A genetic algorithmic approach to the shortest path (SP) routing problem in large network was presented in order to improve the efficiency of computation.
为提高求解大型网络最短路问题(SP)的效率，采用遗传算法求解。
应用推荐